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Updated: Apr 18, 2026
Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
RNA-Rocket: an RNA-Seq analysis resource for infectious disease research
Andrew S Warren1, Cristina Aurrecoechea1, Brian Brunk2
1Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24060, USA, Center for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA, Penn Center for Bioinformatics and Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA, Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA, Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN 46656-0369, USA, University of California, Department of Microbiology and Molecular Genetics, Irvine, California, USA and The Rockefeller University, Howard Hughes Medical Institute, New York, NY 10065, USA.
RNA-Rocket offers a free service for RNA-Sequencing (RNA-Seq) and ChIP-Sequencing (ChIP-Seq) analysis, simplifying complex bioinformatics for infectious disease research. This resource provides extensive genomic data, analysis tools, and educational materials for researchers of all experience levels.
Area of Science:
- Bioinformatics
- Genomics
- Infectious Disease Research
Background:
- RNA-Sequencing (RNA-Seq) is crucial for profiling gene expression and studying transcriptional structure.
- The rapid evolution of RNA-Seq technologies presents a bioinformatics challenge for researchers.
- Integrated resources are needed to streamline genomic data analysis for life scientists.
Purpose of the Study:
- To introduce RNA-Rocket, a free service simplifying RNA-Seq and ChIP-Seq analysis.
- To provide researchers, particularly those studying infectious diseases, with accessible bioinformatics tools.
- To bridge the gap between complex sequencing data and research application.
Main Methods:
- RNA-Rocket provides access to RNA-Seq and ChIP-Seq analysis tools.
- The service includes thousands of pre-indexed genomes and annotations.
- Results can be streamed to VectorBase, EuPathDB, and PATRIC.
Main Results:
- RNA-Rocket offers a user-friendly interface for novice and experienced users.
- The platform integrates experimental data, metadata, and pre-computed analyses.
- Step-by-step guides and educational materials are available.
Conclusions:
- RNA-Rocket democratizes access to advanced RNA-Seq and ChIP-Seq analysis for infectious disease research.
- The service reduces the bioinformatics overhead for life science researchers.
- This resource supports a wide range of users in exploring genomic data.
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